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Content Delivery From the Sky: Drone-Aided Load Balancing for Mobile-CDN

  • T. Bilen*
  • , B. Canberk
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

The Base Station based Mobile-CDN architecture redirects the content request of mobile users to other base stations during storage misses. These request redirections increase the latency of a mobile client through unbalanced load distributions among base stations. To solve the unbalanced load distribution and latency problems, we propose to deliver the content from the sky by deploying drones as aerial content delivery points. This drone based deployment enables a more effective and inexpensive solution without changing Mobile-CDN architecture. Here, we select different queuing theoretical models for drones and base stations due to the drones’ small capacity. With base station modeling, we can decide the loaded base stations to transfer the drones by utilizing the Barabasi-Albert Model. With drone modeling, we can obtain blocking probabilities with the Erlang-B parameter to determine additional drone transfer. According to simulations, the latency of mobile client originating requests are reduced by 25% compared to conventional Base Station based Mobile-CDN architecture.

Original languageEnglish
Article numbere2
Pages (from-to)1-7
Number of pages7
JournalEAI Endorsed Transactions on Industrial Networks and Intelligent Systems
Volume9
Issue number30
DOIs
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
© 2022 T.Bilen et al., licensed to EAI.

Keywords

  • accepted on 08 March 2022
  • Barabasi-Albert Model
  • Drone
  • Load Balancing
  • Mobile Content Delivery Networks
  • published on 09 March 2022
  • Queuing Model Received on 14 February 2022

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